Results 21 to 30 of about 77,058 (245)
A Software Framework for the Integration of Infrastructure Simulation Models
Journal of Open Research Software, 2019 Infrastructure systems, such as those that generate and transmit energy, process waste water and enable the transportation of people and goods, provide fundamental services that underpin modern society.
Will Usher, Tom Russell
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An IRGA-MACS Based Cluster-Head Selection Protocol for Wireless Sensor Networks
Cybernetics and Information Technologies, 2021 In a volatile environment, a substantial number of sensor nodes are extensively dispatched to track and detect changes in physical environment. Although sensor nodes have limited energy resources, so energy-efficient routing is a major concern in ...
Inam Muhammad +3 more
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Intercomparison of Resampling Algorithms for Advanced Technology Microwave Sounder (ATMS)
Remote Sensing, 2022 The observations from satellite microwave-sounding instruments have been widely used in weather and climate studies. Since the data resolution varies with frequency and satellite viewing angle, it is normally required that the measurements at each ...
Yuchen Xie, Fuzhong Weng
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Novel Resampling Improves Statistical Power for Multiple-Trait QTL Mapping
G3: Genes, Genomes, Genetics, 2017 Multiple-trait analysis typically employs models that associate a quantitative trait locus (QTL) with all of the traits. As a result, statistical power for QTL detection may not be optimal if the QTL contributes to the phenotypic variation in only a ...
Riyan Cheng +2 more
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A Genetic Optimization Resampling Based Particle Filtering Algorithm for Indoor Target Tracking
Remote Sensing, 2021 In indoor target tracking based on wireless sensor networks, the particle filtering algorithm has been widely used because of its outstanding performance in coping with highly non-linear problems.
Ning Zhou +3 more
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Graphical Models, 2002 Summary: The dual of a 2-manifold polygonal mesh without boundary is commonly defined as another mesh with the same topology (genus) but different connectivity (vertex--face incidence), in which faces and vertices occupy complementary locations and the position of each dual vertex is computed as the center of mass (barycenter or centroid) of the ...
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Questionable Claims for Simple Versions of the Bootstrap
Journal of Statistics Education, 2019 Recent years have seen increasing interest in incorporating resampling methods into introductory statistics courses and the high school mathematics curriculum.
Robert W. Hayden
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Algorithms, 2021 Resampling is a well-known statistical algorithm that is commonly applied in the context of Particle Filters (PFs) in order to perform state estimation for non-linear non-Gaussian dynamic models.
Alessandro Varsi +2 more
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RegCGAN: Resampling with Regularized CGAN for Imbalanced Big Data Problem
AxiomsWe consider the imbalanced data problem involving a new class of resampling-based models for classification. These models are variants of the conditional generative adversarial networks.
Liwen Xu, Ximeng Wang
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Estimating Neural Network’s Performance with Bootstrap: A Tutorial
Machine Learning and Knowledge Extraction, 2021 Neural networks present characteristics where the results are strongly dependent on the training data, the weight initialisation, and the hyperparameters chosen. The determination of the distribution of a statistical estimator, as the Mean Squared Error (
Umberto Michelucci, Francesca Venturini
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